People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

A comprehensive Architectural Decision Record system designed for AI-assisted development workflows

This ADR (Architectural Decision Record) system is specifically designed for projects where AI assistants (like Claude) work alongside human developers. It provides structured decision tracking, context preservation, and branching strategy integration that scales from small chores to major architectural changes.

pandora’s vox: on community in cyberspace

by humdog (1994)

when i went into cyberspace i went into it thinking that it was a place like any other place and that it would be a human interaction like any other human interaction. i was wrong when i thought that. it was a terrible mistake.

the very first understanding that i had that it was not a place like any place and that the interaction would be different was when people began to talk to me as though i were a man. when they wrote about me in the third person, they would say “he.” it interested me to have people think i was “he” instead of “she” and so at first i did not say anything. i grinned and let them think i was “he.” this went on for a little while and it was fun but after a while i was uncomfortable. finally i said unto them that i, humdog, was a woman and not a man. this surprised them. at that moment i realized that the dissolution of gender-category was something that was happening everywhere, and perhaps it was only just very obvious on the ne

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

We're building a production-grade, simple and straight-forward 3D Game Engine for Windows, macOS and Linux (Ubuntu 24+). This is professional-grade software that needs to be stable, fully-tested, and real-world deployable. No hacks, no shortcuts - solid as a rock.

• Ask questions only when absolutely necessary - work autonomously
• IMRORTANT! DO NOT look outside of working directory or use other code on my computer as reference
• Start by asking question to determine engine name. Suggest a few
• Testing is of the utmost importance - use lots of unit tests (any framework, simple is good), run automated testing
• Setup a scene used for testing, which tests every single feature in the engine - all components, and entire scripting API

All text that follows is from Rich Hickey via https://www.linkedin.com/pulse/ai-tool-rich-hickey-kjl8e

by Rich Hickey Published Oct 12, 2026

(I keep delivering this as a quip, here's a bit more)

First order of business - is 'tool' going to have an interesting, distinguishing and thus illuminative meaning or be a mere platitudinous stand-in for "anything useful"?

This document describes several shell pipelines for converting PDF files to any format.

I'm not sure if it's true for all people, but my e-reader sucks at displaying PDF --- which is, in all reality, a giant executable file (we'll discuss this soon). Also, there's dozens of other reasons one may wish to convert a PDF to a better 'text format'. Let's say, you wanna put it up on your website, feed it to a mathematical optimization model, feed it to an script, etc.

Before you read this document, yes, I know there is a utility, nay, dozens that converty PDFs directly to text (like pdftotext). I ALSO know that. there are millions, if not BILLIONS of crappy web services that serve you a malware on the platter alongisde converting the files. So let's not talk about them! It's about "owning" your software, read this!

This is not meant to be a description or history of PDF files, you can consult Sahih Al-Bukhari f